ASME 2009 International Manufacturing Science and Engineering Conference, Volume 2 2009
DOI: 10.1115/msec2009-84256
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Volumetric Flank Wear Characterization for Titanium Milling Insert Tools

Abstract: Machining wear models are useful for the prediction of tool life and the estimation of machining productivity. Existing wear models relate the cutting parameters of feed, speed, and depth of cut to tool wear. The tool wear is often reported as changes in flank width or crater depth. However, these one-dimensional wear measurements do not fully characterize the tool condition when tools wear by other types of wear such as notching, chipping, and adhesion. This is especially true when machining difficult-to-mach… Show more

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Cited by 8 publications
(8 citation statements)
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“…One such approach particularly suitable for milling inserts having sharp profile features is outlined below. This is a [7]. The volumetric wear assessment methodology essentially involves capturing point cloud data of the cutting region of the tool insert by a 3D optical surface profiler.…”
Section: Volumetric Tool Wear (Vtw): Methodologymentioning
confidence: 99%
See 1 more Smart Citation
“…One such approach particularly suitable for milling inserts having sharp profile features is outlined below. This is a [7]. The volumetric wear assessment methodology essentially involves capturing point cloud data of the cutting region of the tool insert by a 3D optical surface profiler.…”
Section: Volumetric Tool Wear (Vtw): Methodologymentioning
confidence: 99%
“…It is to be noted that such deficiencies in describing the tool condition might not be very significant for materials having high machinability such as aluminum and its alloys, which usually exhibit a "fairly linear" tool deterioration response with cutting time. However, for materials generally classified as "difficult-tomachine," such as titanium and its alloys, standard tool life models eventually break down [6][7][8][9][10], and these inadequacies are very pronounced.…”
Section: Tool Wear Characterization Issues-a Brief Qualitative Assessmentioning
confidence: 99%
“…Such inconsistencies can be verified quantita tively as well. Note that these inconsistencies are all the more pro nounced when machining traditionally "difficult-to-machine," materials such as Ti-6A1-4V, when standard tool life models break down [4][5][6][7][8].…”
Section: Introductionmentioning
confidence: 99%
“…1 is just one among many that are commonly encountered; hence, strictly speaking, none of the traditional tool wear studies can be compared absolutely. Rightly so, machining tool wear has historically been described as "difficult to define without ambiguity" [11], Prior conducted volumetric wear related efforts by contact mechanics [12][13][14][15] and optical assessment [16][17][18][19][20][21][22][23][24][25] have been extended [1,5,9,10,26,27] in which a VTW methodology was developed, evaluated by a gauge R&R, and validated. Further, a comparative analysis [1,9] has substantiated the necessity and advantages of this methodology over prior efforts.…”
Section: Introductionmentioning
confidence: 99%
“…The constant C is defined as the cutting speed required to obtain a tool life of 1 min. Tool life can be defined as the time required to reach a predetermined flank wear width, FWW [2][3][4], although other wear criteria such as dimension tool life, dimension wear rate (defined as the rate of shortening of the cutting tip in the direction perpendicular to the machined surface taken within the normal wear period) [5], crater wear [6][7][8], and volumetric wear [9][10][11], may also be applied. The Taylor tool life model is deterministic in nature, but uncertainty always exists in practice due to: (1) factors that are unknown or not included in the model (because of the complex nature of the tool wear process); and (2) tool-to-tool performance variation.…”
Section: Introductionmentioning
confidence: 99%